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A nonparametric sequential selection procedure

 

作者: Khursheed Alam,   K.B. Kulasekera,  

 

期刊: Sequential Analysis  (Taylor Available online 1993)
卷期: Volume 12, issue 3-4  

页码: 271-288

 

ISSN:0747-4946

 

年代: 1993

 

DOI:10.1080/07474949308836286

 

出版商: Marcel Dekker, Inc.

 

关键词: Sequential Selection;Rank Statistics;Stochastic Ordering

 

数据来源: Taylor

 

摘要:

There are given k stochastically ordered populations. A sequential sampling procedure (S) is proposed for selecting the population associated with the largest rank in the ordering. Observations are taken one at a time from each of the k populations. The procedure S allows for a specified maximum number (M) of observations to be taken from each population. The stage N at which the sampling is stopped depends on the choice of a parameter c. The choice of c is based on a trade-off between the expected number of observations and the probability of a correct selection (PCS). A table is given showing the values of c, the associated values of the PCS and the expected sample number, based on the asymptotic properties of S when M is large. Empirical results are given, based on a simulation study of the small sample properties of S.

 

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